You want to know, how to combine your internal information with generative AI without having to upload everything? Than read more about it in this article.
Generative AI and its use in the company
On our blog, you will find all the information you need on AI and its use in the company. From technical explanations and references to strategic topics, our blog highlights everything that is relevant to the use of AI in the company and contributes to decision-making.
Integrating modern AI systems into grown IT landscapes
Zentis R&D: Streamlining Knowledge Management
Thanks to amberSearch’s Enterprise Search, the international foodtech company Zentis works together even more efficiently. The R&D team benefits from centralised access to versatile knowledge in different systems and languages. The CREOS project enables the R&D staff to access information across countries. In phase 1, amberSearch was integrated for German and selected English-language systems, with a group of key users using the new R&D portal in Zentis’ SharePoint. In Phase 2, the collaboration expanded coverage and added translation capabilities. This allows users to search and get results in their preferred language. Both Zentis and amberSearch built know-how and overcame technical challenges such as maintaining access rights and networking with network drives without an additional VPN connection.
What should you choose an enterprise search by?
The introduction of an enterprise search requirement no longer has to be a large and comprehensive project as it used to be, but can be much leaner nowadays. In order not to have unintentionally complex implementations or technologically outdated solutions afterwards, a careful selection of the right providers is required. In order to clearly outline the requirements, we have compiled a short list to help with the selection of an enterprise search.
Best Practices User Onboarding Enterprise Search
Over the years, we have built up expertise in the field of enterprise search and have identified recurring patterns over the course of various projects. In order to share our best practices with companies implementing enterprise search, we have written this blog article. Our learnings are mostly from onboarding with SMEs and can of course vary per company/industry. While our best practices are not universal, they are a good guide to what things to consider.
How to implement an enterprise search?
What technical steps have to be done to implement an enterprise search? You can find it here.
What resources does the implementation of an Enterprise Search require?
Much has changed in recent years due to a change in technology. The introduction of an enterprise search is – provided one uses standard software – not a huge project. In the following, various resources are therefore discussed and, where possible, a realistic estimate of the resources required is given.
What is an Enterprise Search?
An Enterprise Search is a software that enables employees to easily find company internal information. Read more about the technical challenges and use cases of an enterprise search
Krämmel Group: Innovation through Intelligent Search Technology
As a third-generation family business, the Krämmel Unternehmensgruppe now has over 200 employees. In the core areas of project development, planning & construction and facility management, the construction company offers its customers the complete construction process from a single source. In this way, the Krämmel group of companies has been guaranteeing high quality for its customers for more than 75 years and thus lives up to its own motto “Building made easy”.
Calculating a business case for an enterprise search
Internal research for information draws more information than most people in a company realise. This blog article provides support to calculate the case for your own company.
amberAI – ChatGPT for corporate use cases
Digital transformation in R&D departments: How AI-based solutions can help
Cloud vs. on-premise solutions – advantages and disadvantages
Enterprise software can be installed either on-premise or in the cloud. This article explains what consequences this has. In order to understand the added value of the respective solution, you first need to know what exactly is hidden behind the two options.
According to a Statista survey, 82% of all companies surveyed in 2020 said they were already using either private or public cloud solutions. As the current trend is for more and more software solutions to be offered in the cloud, this article takes a closer look at the advantages and disadvantages of cloud and on-premise solutions.
Better customer service through digital information provision for service technicians
The shortage of skilled workers, increasingly complex products and demanding customers make the work of many industrial companies more difficult. This article explains how digital solutions can make life much easier for commissioning engineers or service technicians on site with customers.
Deep Learning vs. Machine Learning – Understanding the Differences
Deep Learning and Machine Learning are two important technologies in the world of Artificial Intelligence (AI) and thus part of the umbrella term Data Science. Although they are sometimes used as synonyms, there are important differences between the two to understand.